Job Brief and Requirements • We are looking for a Machine Learning/Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications. • Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques • NLP Skills/Tools: NLP, HMM, CRF, LDA, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, CoreNLP, NLU, NLG etc., • Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. • Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc. • Understanding of data creation. Develop highly scalable classifiers and tools leveraging machine learning and rules based models. • Work closely with product teams to implement algorithms that power user and developer-facing products. • Perform user research and evaluate user feedback.
About Us: Led by former Salesforce and Siebel executive, Chuck Ganapathi, Tact.ai is on a mission to make enterprise software more human-friendly. Tact.ai’s Conversational AI Platform is used by Fortune 500 sales organizations to drive revenue growth by eliminating friction in their daily sales workflow. Headquartered in Sunnyvale, CA., Tact.ai Technologies, Inc. is a privately-held company backed by Accel Partners, Redpoint Ventures, Upfront Ventures, M12 (formerly Microsoft Ventures), Comcast Ventures, Salesforce Ventures and the Amazon Alexa Fund. The India Development Centre of Tact.ai was set up in July 2018, with a focus on bringing together world class talent to take Tact.ai to the next level, in terms of product, go-to-market and operational excellence, while building up on the company’s culture of global inclusion that we aspire to and strive for. About The Opportunity: At Tact.ai, we build products that transform how users work by eliminating friction in their day-to-day lives. Instrumental in this goal of making software more human-friendly are Tact’s AI team. Are you interested in applying Artificial Intelligence to make the lives of enterprise users friction free? Do you relish building & leading a team of Rockstar engineers who accept challenge of balancing user experience, technical challenges, optimization, enterprise grade security, omni-channel and cross-platform extensibility? Does your experience include scaling a team of top notch engineers writing highly reusable code and thinking about how to reimagine a better software system? Join the AI team at Tact.ai, the only company backed by Amazon, Microsoft and Salesforce.com. Responsibilities: Manage team building Tact’s Artificial Intelligence (AI) Platform to design & deliver a world class enterprise AI platform Work with small cross functional teams to deliver product features which enrich the AI platform Provide architectural leadership as Tact scales, both as a product as well as across customers Research and help build state-of-the-art language models, Natural Language Understanding (NLU) & Natural Language Generation (NLG) systems Participate in design, code reviews and establish engineering standards across the team. Monitor project risks, timelines, provide visibility, and help to resolve involving teams and necessary stakeholders Own vision, strategy planning, prioritization, driving architectural decisions, and end-to-end project delivery. Manage careers of talented engineers, including making great hiring decisions, setting goals, providing feedback and managing performance Requirements: Masters or Ph.D. in computer science or related fields with specialization in Machine Learning/Deep Learning Proficiency in Java and Python 10+ years of Experience building high performing teams of AI Engineers & Data Scientist, establishing technical direction and retaining talent Background in working on machine learning models for understanding language semantics & agents architecture Familiarity with conversational flow development experience using voice and text-based NLP channels like Amazon Alexa, Slack, Cortana, etc. Take ownership of features and projects and be self-driven to deliver them on time Perks: Competitive salary Stock options Flexible work hours Sponsored lunch
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis. You will be responsible for: Developing audio algorithms to detect key moments within popular online games, such as: Streamer speaking, shouting, etc. Gunfire, explosions, and other in-game audio events Speech-to-text and sentiment analysis of the streamer’s narration Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them Building neural network architectures for audio analysis as it pertains to popular games Specifying exact requirements for training data sets, and working with analysts to create the data sets Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You should have the following qualities: Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing Experience using Python, TensorFlow and other AI tools Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others Nice to have: some familiarity with AI-based audio analysis including sentiment analysis Familiarity with AWS environments Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python